Is the AI Investment Boom Losing Steam? What’s Driving the Sell-Off?

AI’s Infrastructure Bill Puts Big Tech Returns Under Scrutiny

Investors are asking whether the cash flows and future returns can keep pace with the vast sums being committed to AI infrastructure.

Results sharpen the question of AI returns

The sell-off followed quarterly results that renewed concerns about the cost of building AI capacity and how quickly companies can earn a return on it. The Nasdaq 100 fell 3.5 per cent on Friday, October 30, taking its October decline to 6.7 per cent—its weakest monthly performance since March 2025. The S&P 500 dropped 1.8 per cent. Losses also spread across Asia and Europe: South Korea’s Kospi fell 3.48 per cent, Japan’s Nikkei 225 lost 2.1 per cent and the STOXX Europe 600 Technology index declined 2.75 per cent.

Company-specific results added to the pressure. Alphabet shares fell 13 per cent after weaker-than-expected core search revenue and a second consecutive quarter of negative free cash flow. Amazon declined 5.6 per cent over Thursday and Friday after reporting a larger-than-expected free-cash-flow deficit, alongside higher capital expenditure and slower e-commerce growth. Intel fell 29 per cent after issuing a revenue forecast below analysts’ estimates; Nvidia and Advanced Micro Devices dropped 4.2 per cent and 11 per cent, respectively.

Heavy investment is changing the cash-flow picture

Three of the four major hyperscalers—Amazon, Meta Platforms and Alphabet—reported negative free cash flow in the latest quarter. Amazon’s deficit reached nearly $35 billion, compared with positive free cash flow of $430 million a year earlier. Microsoft, by contrast, reported positive free cash flow of $18.6 billion.

The scale of future commitments is also attracting attention: Meta’s rose to $825 billion and Alphabet’s exceeded $1 trillion. These figures do not by themselves show whether the investments will pay off, but they underline the size and duration of the spending challenge. When capital expenditure rises faster than cash generation, investors may focus less on headline demand and more on the timing and reliability of returns. The shift towards asset-heavy operations also complicates how markets assess cash flows and value technology companies.

Credit markets are pricing in more uncertainty

Concern has reached technology credit markets. Five-year credit default swaps linked to Broadcom rose to 175.4 basis points, a record closing level, while SpaceX’s measure reached 266.5 basis points, its highest since trading began earlier this year. Alphabet’s CDS rose to around 84 basis points. A CDS is a contract used to hedge against a borrower defaulting; a higher premium signals that investors are seeking more compensation for taking on that credit risk. It is a measure of concern, not proof that a company will default.

Trading volumes in CDS linked to the 10 largest hyperscalers and chipmakers rose more than eightfold in 2026 to $176 billion through the previous week. Separately, a Nikkei Asia study earlier this year estimated that combined off-balance-sheet commitments by Alphabet, Microsoft, Amazon, Meta and Oracle had climbed eightfold in about four years to $1.65 trillion, compared with around $1.35 trillion in reported balance-sheet debt. The commitments largely relate to data-centre leases and computing equipment. They add to the importance of assessing financing obligations alongside reported debt.

Demand remains strong, but expectations are under review

The pressure does not establish that the AI boom is over: cloud demand remains strong and companies are continuing to commit capital to infrastructure. The tension is between that demand and the evidence investors need that spending can translate into durable revenue and cash generation. Concerns over high valuations make the hurdle higher, particularly where market prices imply substantial future growth. Fund managers at a recent Mumbai summit cautioned that AI investments must produce measurable economic returns to justify expectations; the European Central Bank has also discussed the possibility of a correction in technology valuations, while noting that its timing is difficult to predict.

For investors, the sell-off brings execution and financing into sharper focus, rather than offering a simple verdict on AI’s long-term potential. Results across companies show different cash-flow outcomes, so sector-wide enthusiasm may give way to closer scrutiny of individual spending plans, business performance and the capacity to fund commitments.

Key Highlights

• Nasdaq 100 lost 3.5 per cent on Friday, October 30, and 6.7 per cent across October.
• Weakness in core businesses and free cash flow added to worries about rising AI-related investment.
• Amazon, Meta and Alphabet reported negative free cash flow in the latest quarter; Microsoft reported $18.6 billion.
• Higher CDS premiums point to increased demand for protection against technology-company credit risk.
• Strong cloud demand persists, but investors are looking for clearer evidence that AI spending can generate returns.

Investor Note: The key question is not simply how much companies are investing in AI, but whether their cash generation and financing capacity can support that spending while delivering returns. Investors may want to distinguish companies by those measures rather than treating the AI trade as a single story.